Rakesearch: Difference between revisions
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[https://rake.boincfast.ru/rakesearch/ '''''RakeSearch'''''] is a '''''[[wikipedia:Volunteer computing|volunteer distributed computing]]''''' project that uses [https://boinc.berkeley.edu/ '''''BOINC'''''] and needs your help to ... | [https://rake.boincfast.ru/rakesearch/ '''''RakeSearch'''''] is a '''''[[wikipedia:Volunteer computing|volunteer distributed computing]]''''' project that uses [https://boinc.berkeley.edu/ '''''BOINC'''''] and needs your help to ...[[File:Example of a GUI.png|alt=example mediawiki image|thumb|insert [[commons:Main_Page|'''''Wikimedia Commons''''']] image or Upload file]] | ||
== Why RakeSearch? == | == Why RakeSearch? == | ||
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== Methods == | == Methods == | ||
* always including "why BOINC"? | * always including "why BOINC"? | ||
* | * | ||
* impactful final statement | * impactful final statement | ||
Revision as of 22:00, 17 March 2024
BOINC project page template
[[File:{{#setmainimage:Squares.png}}|alt=logo image|center|frameless]]
RakeSearch is a volunteer distributed computing project that uses BOINC and needs your help to ...
Why RakeSearch?
- why this topic/object of study?
Goal
- summarize the objectives and challenges which the project addresses, before jumping into details
Methods
- always including "why BOINC"?
- impactful final statement
Project team / Sponsors
Scientific results
- external links
Scientific publications
- Vatutin, Eduard, Oleg Zaikin, Maxim Manzyuk and Natalia Nikitina. Searching for Orthogonal Latin Squares via Cells Mapping and BOINC-Based Cube-and-Conquer. (2021). DOI: 10.1007/978-3-030-92864-3_38.
- Vatutin, Eduard and Alexey Belyshev. Enumerating the Orthogonal Diagonal Latin Squares of Small Order for Different Types of Orthogonality. (2020). DOI: 10.1007/978-3-030-64616-5_50.
- Ivashko, Evgeny and Natalia Nikitina. Replication of “Tail” Computations in a Desktop Grid Project. (2020). DOI: 10.1007/978-3-030-64616-5_52.
- Manzyuk, Maxim, Natalia Nikitina and Eduard Vatutin. Start-up and the Results of the Volunteer Computing Project RakeSearch. (2019). DOI: 10.1007/978-3-030-36592-9_59.